update model card README.md

README.md

@@ -13,12 +13,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7806
-- Mse: 0.7806
-- Rmse: 0.8835
-- Mae: 0.6603
-- R2: 0.5667
-- Smape: 22.5571
+- Loss: 0.8968
+- Mse: 0.8968
+- Rmse: 0.9470
+- Mae: 0.7104
+- R2: 0.4941
+- Smape: 24.0094
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Mse    | Rmse   | Mae    | R2     | Smape   |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|:-------:|
-| No log        | 1.0   | 169  | 0.7806          | 0.7806 | 0.8835 | 0.6603 | 0.5667 | 22.5571 |
-| No log        | 2.0   | 338  | 0.6650          | 0.6650 | 0.8155 | 0.6101 | 0.6309 | 21.0106 |
-| 0.8495        | 3.0   | 507  | 0.6534          | 0.6534 | 0.8083 | 0.5901 | 0.6373 | 20.3481 |
-| 0.8495        | 4.0   | 676  | 0.6608          | 0.6608 | 0.8129 | 0.5881 | 0.6332 | 20.2336 |
-| 0.8495        | 5.0   | 845  | 0.6619          | 0.6619 | 0.8136 | 0.5855 | 0.6326 | 20.1610 |
+| No log        | 1.0   | 169  | 0.8968          | 0.8968 | 0.9470 | 0.7104 | 0.4941 | 24.0094 |
+| No log        | 2.0   | 338  | 0.6792          | 0.6792 | 0.8241 | 0.6188 | 0.6169 | 21.1323 |
+| 0.8399        | 3.0   | 507  | 0.6845          | 0.6845 | 0.8274 | 0.6031 | 0.6138 | 20.6587 |
+| 0.8399        | 4.0   | 676  | 0.6598          | 0.6598 | 0.8123 | 0.5881 | 0.6278 | 20.1132 |
+| 0.8399        | 5.0   | 845  | 0.6820          | 0.6820 | 0.8258 | 0.5909 | 0.6153 | 20.1342 |
 
 
 ### Framework versions